Price: $64.99 – $45.82
(as of Dec 17,2024 05:48:27 UTC – Details)
Publisher : Springer; 1st edition (October 26, 2020)
Language : English
Paperback : 268 pages
ISBN-10 : 3031006410
ISBN-13 : 978-3031006418
Item Weight : 1.13 pounds
Dimensions : 7.52 x 0.61 x 9.25 inches
Deep learning systems have become increasingly important in today’s world, with applications ranging from autonomous vehicles to voice recognition software. In order to effectively deploy deep learning systems at scale, it is crucial to understand the algorithms, compilers, and processors that power these systems.
In the book “Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production (Synthesis Lectures on Computer Architecture),” readers will gain a comprehensive understanding of the key components that make up deep learning systems. The book covers the latest advancements in deep learning algorithms, compiler optimizations for efficient execution, and processor architectures designed specifically for deep learning workloads.
Authors in this book provide insights into the challenges and opportunities of deploying deep learning systems in large-scale production environments. Readers will learn about the latest techniques for optimizing deep learning algorithms, improving compiler performance, and designing specialized processors to accelerate deep learning workloads.
Whether you are a researcher, developer, or practitioner working in the field of deep learning, this book is a valuable resource for understanding the intricacies of building and deploying deep learning systems at scale. Dive into the world of deep learning with “Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production” and stay ahead of the curve in this rapidly evolving field.
#Deep #Learning #Systems #Algorithms #Compilers #Processors #LargeScale #Production #Synthesis #Lectures #Computer #Architecture
Leave a Reply